<aside> ℹ️ Kwit is an application based on scientific research to give you every chance of successfully quitting smoking! On this page, you'll find a non-exhaustive list of the main scientific papers studying our solution.
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Bustamante Perez L, Romo L, Zerhouni O (2024).
JMIR Mhealth Uhealth 2024;12:e51025 (https://mhealth.jmir.org/2024/1/e51025)
These results suggest that even in ecological contexts where engagement rates are meager, the Kwit preparation program can address ambivalence by increasing willingness to change, self-confidence, and readiness to quit among its users, especially those who feel less able to do so. Further development and evaluations are needed to better understand determinants for regular mobile health apps.
Zhang, M., Wolters, M., O'Connor, S., Wang, Y., & Doi, L. (2023).
International Journal of Medical Informatics, Volume 175. (https://www.sciencedirect.com/science/article/pii/S1386505623000874#ab005)
In this systematic review of the qualitative evidence on the user experience of smoking cessation apps, we determined six key app functions and five key app characteristics that may play a role in the success of mHealth for smoking cessation. In addition to informing the design of new smoking cessation apps which better meet smokers’ needs, our findings can also be used as the basis for planning realist evaluation research of specific apps and creating programme theories that link behaviour change with technology use.
Chen, J., Chu, J., Marsh, S., Shi, T., & Bullen, C. (2023).
Psych, 5(4), Article 72. (https://doi.org/10.3390/psych5040072)
In this systematic review, we meticulously examined the current literature on smoking cessation apps tailored for smokers with mental health conditions. Our findings underscore a notable gap: there is limited evidence to conclusively determine the efficacy of these apps in assisting individuals with mental health challenges to quit smoking. While the impact of these apps on users’ mental health remains largely uncharted, it is evident that apps grounded in research are generally perceived as effective by their users, often employing theory-driven strategies. However, a stark contrast emerges when comparing research-based apps with their commercial counterparts. The former, despite their evidence-based foundations, often fall short in terms of user engagement and appeal. Enhancing the marketability of research-based apps is crucial. Adopting effective naming conventions and aligning with industry design standards can significantly elevate their appeal. Moving forward, there is a compelling case for the creation of smoking cessation apps for this demographic, drawing from both scientific evidence (including established theories and pertinent clinical guidelines) and the best practices observed in popular commercial apps. Future research, particularly randomised controlled trials, should aspire for more robust methodologies, encompassing larger participant cohorts, extended monitoring durations, and a broader spectrum of outcome metrics.